Learn to build with Gemini, Google AI Studio, and Google Cloud AI. From your first prompt to production deployment — guided by Imbila every step of the way.
Open Google AI Studio in your browser — no setup, no credit card. Start prompting Gemini in seconds.
Weekly 3.5-hour workshops with a maximum of 6 participants. Go from starter apps to production-ready builds.
Ship to Cloud Run, Vertex AI, or Firebase. Eligible for up to $350K in Google Cloud startup credits.
A progressive, hands-on curriculum. Each week builds on the last — so by week 4 you have a real, deployed product running on Google Cloud.
Foundation week. Explore AI Studio, test starter apps, understand Gemini’s capabilities — text, vision, code, and multimodal.
Hands-on customisation. Modify real applications, integrate the Gemini API, build your first working prototype.
Infrastructure week. Google Cloud integration, authentication, databases, scaling — the production backbone.
Launch week. Production readiness, monitoring, monetisation strategy, and your go-live deployment.
Why this structure works: Each week has a clear deliverable. You don’t just learn theory — you ship. By the end of 4 weeks you have a production-ready application, the skills to maintain and extend it, and a path to Google Cloud credits worth up to $350,000.
4 progressive workshops. 3.5 hours each. Weekly. Maximum 6 participants per cohort — so you get real attention, not a lecture hall.
Starter code for every workshop · Session recordings · Completion certificate · Google Cloud credits eligibility (up to $350K for qualifying startups) · Post-bootcamp community access
Developers, founders, product teams, and technical leaders who want to build real products with Google AI. Basic coding familiarity helpful but not required.
Weekly 3.5-hour sessions · Live on Zoom or in-person at Workshop17 JHB · Small group — maximum 6 per cohort
Google AI Studio orientation. Prompt design fundamentals. Understanding Gemini models — text, vision, code, multimodal. Building your first structured prompt. Testing starter applications.
Gemini API integration. Modifying real applications. Function calling. System instructions. Grounding with search. Building your custom prototype.
Google Cloud setup. Authentication & security. Cloud Run deployment. Firestore or BigQuery for data. Scaling considerations. Cost management.
Production readiness checklist. Monitoring & logging. User feedback loops. Monetisation models. Google Cloud credits application. Your go-live launch.
Get started with Google AI Studio and Gemini through these official tutorials — great for previewing what you’ll build in the bootcamp.
Get Started with Google AI Studio — Watch ↗
Before each session: We share tutorials as pre-work so you arrive ready to build — not watch a lecture.
During workshops: We go beyond what tutorials cover — real architecture decisions, production patterns, and debugging live together.
After the bootcamp: Google’s tutorial library and your session recordings become your ongoing reference as you iterate on your product.
Google offers excellent free courses to deepen your AI knowledge. These complement the bootcamp perfectly — or stand on their own.
Our interactive academy uses AI to personalise your learning journey. Work through 10 modules at your own pace, with an AI tutor ready to answer questions and generate practice quizzes.
From Gemini basics to production deployment — structured, progressive lessons with real content.
Ask questions, get code examples, and explore concepts with a context-aware AI assistant.
Test your knowledge with AI-generated quizzes tailored to each module. Track your progress.
About the bootcamp, pricing, and what to expect.
Explore AI Studio for free. Then join the bootcamp to go from prompts to production in 4 weeks.